Thermal Remote Sensing in Land Surface Processes - Chapter 2 ppt

... 0.007 2. 304 14.413 −9.791 Ulivieri (Sobrino)* 0. 321 2. 526 13.764 −8.5 42 Kerr et al. (19 92) 0.7 42 2 .24 1 16.986 −6.4 62 Vidal et al. (1991) 0 .24 3 2. 979 10.613 −9.576 Coll et al. (1997) 0.431 2. 427 ... Latitudinal band 45–55 N; (e) 30–45 N; (f) 15–30 N (see Colour Plate VIIId–f). “chap 02 20 04 /2/ 6 — page 72 — #40 – 40 20 0 20 40 0 sep1 92 i T i –40 20 0 20 40 T i –40 20...

Ngày tải lên: 11/08/2014, 21:21

... Newcastle-upon-Tyne, England, in 1995. He publishes in the areas of remote sensing and meteorology and recently has been focusing on interdisciplinary research in the application of remote sensing in ... Washington, D.C. Thermal Remote Sensing in Land Surface Processes EDITED BY Dale A. Quattrochi and Jeffrey C. Luvall “chap01” 20 04/1 /20 — page 25 — #17 Estima...

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... basin-scale surface fluxes by combining remotely-sensed data and atmospheric properties in a semiarid landscape. Bound Layer Meteorol. 73: 105 24 . “chap04” 20 04/1 /20 — page 155 — #23 Estimating ... 20 65–86. Goodin, D.G. (1995) Mapping the surface radiation budget and net radiation in a Sand Hills wetland using a combined modeling /remote sensing method and Landsat Thematic Map...

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... drives lightning is destroyed during the lightening process (continued) “chap09” 20 04/1 /20 — page 29 7 — #15 (a) Ecosystem M OUT h OUT M IN h IN (b) Ecosystem M OUT h OUT M IN h IN T, Surface emissions T, ... with the purpose of establish- ing a link between ecosystem exergy analysis and thermal remote sensing, a minimum of mathematics is used by focussing on a non-reacti...

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... Pixel count Median R net STD R net Median G STD G Median H STD H Median LE STD LE Water 571 585 28 .6 96 95.7 48 23 .3 411 68.8 Woodland 8,590 579 29 .9 75 44.9 60 41.6 426 51.5 Crops 6,814 555 27 .2 84 42. 3 51 22 .4 420 47.3 Pasture – dense 3,705 579 25 .7 84 38.3 54 25 .7 426 44.0 Pasture ... meteorological inputs required for the data include: incoming solar radiation, near -surfa...

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... than at 2 cm and the surface “chap06” 20 04/1 /20 — page 195 — #11 Remote sensing of soil moisture 195 June 19(a) June 23 June 28 July 7 51 525 3545 T (°C) or W v (%) Depth (cm) Temp. W g W b 20 –15 –10 –5 51 525 3545 T ... becomes increasingly obvious as the surface layer in the model is reduced in thickness. 6 .2. 4 A soil experiment In order to study the drying proce...

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... index. Remote Sens. Environ. 62: 24 1– 52. “chap07” 20 04/1 /20 — page 22 3 — #19 Mapping surface energy fluxes 22 3 1996) by using remote brightness temperature observations at two times in the morning ... lower “chap07” 20 04/1 /20 — page 22 8 — #24 22 8 Kustas et al. 400 450 500 550 600 650 700 R N Cupid (W m 2 ) 400 450 500 550 600 650 700 R N 2ANGLE (W m 2 ) 0 50 100 1...

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... 29 7.665 −0.1 12 Spectral target T = 28 5 7 .22 4 28 3.174 7 .23 8 28 3.436 7 .23 6 28 3.416 −0.019 T = 305 9.635 3 02. 290 8. 829 29 6.567 8.810 29 6. 425 −0.1 42 Case B: λ = 9.5–11.5 µm Water T = 28 5 7.535 28 4.545 ... 7.335 28 4.305 7.340 28 4.353 0.049 T = 305 10.331 304.349 8.988 29 7.777 8.995 29 7. 827 0.050 Spectral target T = 28 5 7.3 12 2 82. 7 92 7 .23 8 28 3.4...

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... not’s” of collecting, pre- and post-processing, interpreting, analyzing, quantifying, and modeling of TIR remote sensing data, as well as elucidating the issues and concerns asso- ciated with TIR ... + 422 .93 r = 0.435** MUST-derived daily DM production (g m 2 ) Ground-measured final DM production (g m 2 ) 20 0 300 400 500 600 700 800 900 0 2 4 6 8 10 121 4161 820 222 426 Figure...

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... potential of remote sensing. There is a great challenge in interpreting remote sensing data, in developing remote sensing methods, in finding ways to address the need for remote sensing information ... and Mapping (includes photogram- metry, remote sensing, land surveying, mapping and area determination, and Geo- graphic Information System applications) (Sader and Ver...

Ngày tải lên: 11/08/2014, 07:20